π In the above App tour, you will learn about Streamlit basics & its awesome elements!
- You can fork the repl and try the Shell commands below --
$ pip install -r requirements.txt
$ streamlit run streamlit_app.py
- After running the above commands, it will start the Streamlit App & you can parallelly follow the code alongside for understanding the tour with much ease!
- The #comments in the code will help you navigate through it.
- You can freely use this template to experiment with cool Streamlit elements!
- I have tried my best to make it look simple and easy to understand for everyone π. I've learned so much while making this template, if you use it, please let me know!
π Some info about Imports section from streamlit_app.py
file βΆ
streamlit
-- python library for building cool apps!pandas
-- creating dataframes (i.e., tables)numpy
-- generating random numerical dataaltair
-- visulalizing data from dataframesvega-datasets
-- data used for generating map withaltair
!PIL
-- to upload any type of image files
Hope you have fun learning with Streamlit! π